Media Operations Analyst, OpenAI Ads; Remote

Marketplace Operations Inc. Wilmington, Delaware, United States

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Forbes Advisor is looking for a Marketing Operations Analyst to join the Forbes Advisor Performance Marketing team, supporting our emerging OpenAI Ads initiative.

This role will help operate, test, measure, and scale a new advertising channel at the intersection of performance marketing, AI, experimentation, and data. The ideal candidate is curious, analytical, technically comfortable, and excited to help build new marketing programs from the ground up.

This will begin as a contract-to-hire role and is intended as an entry-level opportunity for a recent graduate or early-career candidate with strong analytical instincts, a growth mindset, and interest in the evolving AI advertising landscape.

If you are looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company, read on.

The Marketing Operations Analyst will work closely with the current ChatGPT Ads lead and partner with Analytics, Engineering, Creative, Product, category teams, Business Development, leadership, and external platform partners to support campaign execution, experimentation, reporting, and growth.

• Monitor campaign performance and identify issues, anomalies, risks, and opportunities.
• Build, launch, QA, and maintain campaigns across emerging AI advertising surfaces.
• Develop audiences, personas, context hints, prompts, and targeting approaches that support scalable campaign growth.
• Write, test, and refine ad creative, messaging, prompts, and landing-page concepts.
• Make budget, pacing, and campaign adjustments based on performance signals and business priorities.
• Support conversion tracking, measurement, tagging, and data quality checks.
• Build, maintain, and improve reporting that helps the team understand performance and identify opportunities.
• Help design and analyze experiments across prompts, targeting, creative, landing experiences, audiences, and funnels.
• Develop clear hypotheses based on performance data, platform behavior, user intent, and business needs.
• Document learnings as the platform evolves and turn early observations into repeatable operating practices.
• Identify opportunities for automation, process improvement, and faster execution.
• Challenge existing approaches and bring forward new ideas rather than simply executing a checklist.

• Use data to diagnose performance changes, understand root causes, and recommend next steps.
• Evaluate performance across revenue, conversion volume, efficiency, quality, and growth potential.
• Partner with Analytics and Engineering to improve measurement, reporting, and campaign visibility.
• Translate campaign observations into practical recommendations for category, product, and business stakeholders.